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8th Wall VS NumPy

Compare 8th Wall VS NumPy and see what are their differences

8th Wall logo 8th Wall

Cross-Platform Mobile AR

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • 8th Wall Landing page
    Landing page //
    2023-09-04
  • NumPy Landing page
    Landing page //
    2023-05-13

8th Wall videos

Building WebAR with 8th Wall - Rigel Benton (8th Wall)

More videos:

  • Review - Getting Started With 8th Wall XR - Augmented Reality App Development
  • Review - 8th Wall Controller Overview - Build an AR App

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to 8th Wall and NumPy)
Augmented Reality
100 100%
0% 0
Data Science And Machine Learning
Game Engine
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare 8th Wall and NumPy

8th Wall Reviews

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NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than 8th Wall. While we know about 111 links to NumPy, we've tracked only 1 mention of 8th Wall. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

8th Wall mentions (1)

  • Beginner looking for WebAR wisdom, guidance and warnings
    Check out https://8thwall.com for inspo. Source: almost 2 years ago

NumPy mentions (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 4 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 7 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing 8th Wall and NumPy, you can also consider the following products

Zappar - Zappar is a clever little app that can see and recognise images and objects in the world around us.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Vuforia - Leading Augmented Rreality platform.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

blippar - Blippar is a revolutionary new image recognition platform that lets you capture a real life image and watch it come to life on your mobile device. Just find images with the blipp logo and unlock a new level of interactivity.

OpenCV - OpenCV is the world's biggest computer vision library